Injuries
Conditions
Keywords
running harmonicity, running related injuries
Brief summary
This study aims to demonstrate the use of a digital video analysis method to evaluate harmonicity of running gait, through an holistic approach. Furthermore, it explores the association of running gait harmonicity with running velocity and level of training and with running injuries risk .
Detailed description
Aetiology of running related injuries is reported to be multifactorial but still not fully understood. Factors that impede the understanding of the mechanisms and aetiology of injury are the traditional segmental approach to the analysis of running gait and the lack of prospective studies. A more holistic approach to analysis of movement could permit a more in depth comprehension of the injured state, trough a changing of point of view. This holistic approach is based on the harmonic nature of running gait. Despite the everyday use of the term harmonicity within sporting domains, methods to measure running gait harmonicity is a theme still vaguely explored. Traditional methods evaluate the movement quality of the whole body based on the motion analysis of specific segments, that are supposed to sufficiently represent the entire body. The search for a method to analyse harmonicity of cyclic movements with a real holistic approach, is therefore still open. With these aims, an innovative video analysis method has been proposed, based on the measure of the frequency variation of the pixel brightness in the digital video of a cyclic movement.
Interventions
DIAGNOSTIC_TESTMaximal incremental running test
Maximal incremental running test with measures of metabolic, spatio-temporal parameters and video recording with camera in the frontal plane. video recording of frontal view, metabolic and spatio-temporal measures of three (self-selected speed, + and - 20 percentage of self-selected speed) 6 minutes running test monthly (12 months) follow-up questionnaire
DIAGNOSTIC_TESTMetabolic and movement analysis of running
Running analysis of three six minutes running test (self-selected speed, + and - 20% of the self-selected speed) by video recording with camera in the frontal plane, and acquisition of the metabolic and spatio-temporal parameters
OTHERQuestionnaires
Monthly follow-up questionnaire (12 months) about training habits and injuries
Sponsors
Microgate Srl
Universita di Verona
Fondazione Don Carlo Gnocchi Onlus
Study design
Observational model
COHORT
Time perspective
PROSPECTIVE
Eligibility
Sex/Gender
ALL
Age
18 Years to 60 Years
Healthy volunteers
Yes
Inclusion criteria
* at least one year of running practice * minimum two day of running/week * minimum 20 km running/week * seasonal best on half marathon comprised between 1h20' and 2h00' * experienced in treadmill running practice * sport medical certificate
Exclusion criteria
* have suffered in the last three months of musculoskeletal disease * regular practice of sport activities different from running * acute or chronic osteoarticular diseases or, in general, other pathology limiting physical activities * use of drugs altering physical activity performance (hypnotic, psychoactive, non-steroidal anti-inflammatory drugs e.g.).
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between running related injuries (RRI) and running gait harmonicity | 1year | Verify if RRI risk is correlated with measures of harmonicity derived from Graal software (registered during three six minutes running test at low, self-selected, high speed): • Number of pixel of the nine principal frequencies RRI are registered by follow-up questionnaires each month . |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| Correlation between running gait harmonicity and spatio-temporal running parameters | 1 year | The association of running gait harmonicity measures with contact time, flight time, stride length and cadence will be evaluated at each running velocity. |
| Correlation between running gait harmonicity and metabolic parameters | 1 year | The association of running gait harmonicity measures with VO2max, ventilation, respiratory exchange ratio and hearth rate. |
| Correlation between running related injuries (RRI) and running gait harmonicity | 1 year | Verify if RRI risk is correlated with measures of harmonicity derived from Graal software (registered during three six minutes running test at low, self-selected, high speed): Signal/noise ratio (ratio between values of the principal frequencies and noise) |
Countries
Italy
Outcome results
None listed